Smart City Gnosys
Smart city article details
| Title | Management Of Smart And Sustainable Cities In The Post-Covid-19 Era: Lessons And Implications |
|---|---|
| ID_Doc | 36241 |
| Authors | Strielkowski W.; Zenchenko S.; Tarasova A.; Radyukova Y. |
| Year | 2022 |
| Published | Sustainability (Switzerland), 14, 12 |
| DOI | http://dx.doi.org/10.3390/su14127267 |
| Abstract | Nowadays, the concept of smart sustainable governance is wrapped around basic principles such as: (i) transparency, (ii) accountability, (iii) stakeholders’ involvement, and iv) citizens’ participation. It is through these principles that are influenced by information and communication technologies (ICT), Internet of Things (IoT), and artificial intelligence, that the practices employed by citizens and their interaction with electronic government (e-government) are diversified. Previously, the misleading concepts of the smart city implied only the objective of the local level or public officials to utilize technology. However, the recent European experience and research studies have led to a more comprehensive notion that refers to the search for intelligent solutions which allow modern sustainable cities to enhance the quality of services provided to citizens and to improve the management of urban mobility. The smart city is based on the usage of connected sensors, data management, and analytics platforms to improve the quality and functioning of built-environment systems. The aim of this paper is to understand the effects of the pandemic on smart cities and to accentuate major exercises that can be learned for post-COVID sustainable urban management and patterns. The lessons and implications outlined in this paper can be used to enforce social distancing community measures in an effective and timely way, and to optimize the use of resources in smart and sustainable cities in critical situations. The paper offers a conceptual overview and serves as a stepping-stone to extensive research and the deployment of sustainable smart city platforms and intelligent transportation systems (a sub-area of smart city applications) after the COVID-19 pandemic using a case study from Russia. Overall, our results demonstrate that the COVID-19 crisis encompasses an excellent opportunity for urban planners and policy makers to take transformative actions towards creating cities that are more intelligent and sustainable. © 2022 by the authors. Licensee MDPI, Basel, Switzerland. |
| Author Keywords | artificial intelligence; city management; intelligent transport systems; machine learning; smart city; sustainability |
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